2007Journal of Southwest Jiaotong UniversityRequires access

Travel Time Reliability Based Traffic Assignment Model with Multiple User Classes

Yun Pu

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Abstract

The uncertainty in travel time caused by stochastic factors was analyzed.It was assumed that a traveler's decision on route choice is a tradeoff between expected travel time and travel time reliability.The route choice behaviors were grouped into different classes according to travelers' attitudes towards travel time reliability.A travel time reliability based traffic assignment model with multiple user classes was formulated through a variational inequality(VI) approach.A diagonalization algorithm was presented for the model.As an example,the calculation results on a small network demonstrate that the model can reflect travelers' route choice behaviors in uncertain environments.

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The uncertainty in travel time caused by stochastic factors was analyzed.It was assumed that a traveler's decision on route choice is a tradeoff between expected travel time and travel time reliability.The route choice behaviors were grouped into different classes according to travelers' attitudes towards travel time reliability.A travel time reliability based traffic assignment model with multiple user classes was formulated through a variational inequality(VI) approach.A diagonalization algorithm was presented for the model.As an example,the calculation results on a small network demonstrate that the model can reflect travelers' route choice behaviors in uncertain environments.

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Available abstract

The uncertainty in travel time caused by stochastic factors was analyzed.It was assumed that a traveler's decision on route choice is a tradeoff between expected travel time and travel time reliability.The route choice behaviors were grouped into different classes according to travelers' attitudes towards travel time reliability.A travel time reliability based traffic assignment model with multiple user classes was formulated through a variational inequality(VI) approach.A diagonalization algorithm was presented for the model.As an example,the calculation results on a small network demonstrate that the model can reflect travelers' route choice behaviors in uncertain environments.

Key concepts: Travel time, Reliability (semiconductor), Variational inequality, Computer science, Mathematical optimization, Travel behavior, Operations research, Transport engineering

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